Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data
Group cells according to subject IDs
Extract Pearson residuals from the results of NEBULA
tools:::Rd_package_title("nebula")
Association analysis of a multi-subject single-cell data set using a f...
Retrieve data from Seurat or SingleCellExperiment object to prepare fo...
A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.